commit

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.JPG filter=lfs diff=lfs merge=lfs -text
+*.mp4 filter=lfs diff=lfs merge=lfs -text

app.py

@@ -173,51 +173,17 @@ british_museum_video = "vggsfm_code/examples/videos/british_museum_video.mp4"
 # os.path.join(os.path.dirname(__file__), "british_museum_video.mp4")
 cake_video = "vggsfm_code/examples/videos/cake_video.mp4"
 
+bonsai_video = "vggsfm_code/examples/videos/bonsai_video.mp4"
+
 # os.path.join(os.path.dirname(__file__), "cake_video.mp4")
 
 
 
 # apple_images = glob.glob(f'vggsfm_code/examples/apple/images/*')
+bonsai_images = glob.glob(f'vggsfm_code/examples/bonsai/images/*')
 cake_images = glob.glob(f'vggsfm_code/examples/cake/images/*')
 british_museum_images = glob.glob(f'vggsfm_code/examples/british_museum/images/*')
 
-########################################################################################################################
-# if True:
-# demo = gr.Interface(
-#     title="🎨 VGGSfM: Visual Geometry Grounded Deep Structure From Motion",
-#     fn=vggsfm_demo,
-#     inputs=[
-#         gr.Video(label="Input video", interactive=True, scale=1),
-#         gr.File(file_count="multiple", label="Input Images", interactive=True, scale=1),
-#         gr.Slider(minimum=1, maximum=10, step=1, value=5, label="Number of query images", scale=1),
-#         gr.Slider(minimum=512, maximum=4096, step=1, value=1024, label="Number of query points", scale=1),
-#     ],
-#     outputs=[
-#         gr.Model3D(label="Reconstruction", scale=10),
-#         gr.Textbox(label="Log", scale=10)
-#     ],
-#     # outputs=[gr.Model3D(label="Reconstruction", scale=3), gr.Textbox(label="Log", )],
-#     examples=[
-#         # [apple_video, apple_images, 5, 2048],
-#         [cake_video, cake_images, 3, 4096],
-#         [british_museum_video, british_museum_images, 2, 4096],],
-#     cache_examples=False,
-#     # allow_flagging=False,
-#     allow_flagging='never',  # Updated from False to 'never'
-#     concurrency_limit=1,  # Added concurrency_limit to Interface
-#     description = """<div style="text-align: left;"> 
-#     <p>Welcome to <a href="https://github.com/facebookresearch/vggsfm" target="_blank">VGGSfM</a> demo! 
-#     This space demonstrates 3D reconstruction from input image frames. </p> 
-#     <p>To get started quickly, you can click on our examples. If you want to reconstruct your own data, simply: </p> 
-#     <ul style="display: inline-block; text-align: left;"> 
-#         <li>upload the images (.jpg, .png, etc.), or </li> 
-#         <li>upload a video (.mp4, .mov, etc.) </li> 
-#     </ul> 
-#     <p>If both images and videos are uploaded, the demo will only reconstruct the uploaded images. By default, we extract one image frame per second from the input video. To prevent crashes on the Hugging Face space, we currently limit reconstruction to the first 20 image frames. </p> 
-#     <p>For more details, check our <a href="https://github.com/facebookresearch/vggsfm" target="_blank">GitHub Repo</a> ⭐</p> 
-#     <p>(Please note that running reconstruction on Hugging Face space is slower than on a local machine.) </p> 
-#     </div>""",
-# )
 
 with gr.Blocks() as demo:
     gr.Markdown("# 🎨 VGGSfM: Visual Geometry Grounded Deep Structure From Motion")
@@ -258,6 +224,7 @@ with gr.Blocks() as demo:
     
     examples = [
         [british_museum_video, british_museum_images, 2, 4096],
+        [bonsai_video, bonsai_images, 3, 2048],
         [cake_video, cake_images, 3, 2048],
     ]
     

images_to_videos.py

@@ -2,9 +2,9 @@ import cv2
 import os
 
 # Parameters
-name = "british_museum"
+name = "bonsai"
 folder_path = f'vggsfm_code/examples/{name}/images'  # Update with the path to your images
-video_path = f'{name}_video.mp4'
+video_path = f'vggsfm_code/examples/videos/{name}_video.mp4'
 fps = 1  # frames per second
 
 # Get all image files from the directory

vggsfm_code/examples/videos/bonsai_video.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:627cba512d70ff1ead2ba23e9e8492104934c42c6f2263665d39b72b24ea4d82
+size 2107907